Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	34857
Missing cells	100975
Missing cells (%)	13.8%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	21.6 MiB
Average record size in memory	650.7 B

Variable types

NUM	13
CAT	8

Reproduction

Analysis started	2020-08-07 20:24:02.285397
Analysis finished	2020-08-07 20:27:32.135975
Duration	3 minutes and 29.85 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`Suburb` has a high cardinality: 351 distinct values	High cardinality
`Address` has a high cardinality: 34009 distinct values	High cardinality
`SellerG` has a high cardinality: 388 distinct values	High cardinality
`Date` has a high cardinality: 78 distinct values	High cardinality
`Bedroom2` is highly correlated with `Rooms`	High correlation
`Rooms` is highly correlated with `Bedroom2`	High correlation
`Price` has 7610 (21.8%) missing values	Missing
`Bedroom2` has 8217 (23.6%) missing values	Missing
`Bathroom` has 8226 (23.6%) missing values	Missing
`Car` has 8728 (25.0%) missing values	Missing
`Landsize` has 11810 (33.9%) missing values	Missing
`BuildingArea` has 21115 (60.6%) missing values	Missing
`YearBuilt` has 19306 (55.4%) missing values	Missing
`Lattitude` has 7976 (22.9%) missing values	Missing
`Longtitude` has 7976 (22.9%) missing values	Missing
`Landsize` is highly skewed (γ1 = 96.02231136)	Skewed
`BuildingArea` is highly skewed (γ1 = 99.13257937)	Skewed
`Address` is uniformly distributed	Uniform
`Car` has 1631 (4.7%) zeros	Zeros
`Landsize` has 2437 (7.0%) zeros	Zeros

Suburb
Categorical

HIGH CARDINALITY

Distinct count	351
Unique (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

Reservoir	844
Bentleigh East	583
Richmond	552
Glen Iris	491
Preston	485
Other values (346)	31902

Value	Count	Frequency (%)
Reservoir	844	2.4%
Bentleigh East	583	1.7%
Richmond	552	1.6%
Glen Iris	491	1.4%
Preston	485	1.4%
Kew	467	1.3%
Brighton	456	1.3%
Brunswick	444	1.3%
South Yarra	435	1.2%
Hawthorn	428	1.2%
Northcote	424	1.2%
Camberwell	423	1.2%
Balwyn North	420	1.2%
Essendon	409	1.2%
Coburg	405	1.2%
Glenroy	400	1.1%
Brighton East	393	1.1%
Pascoe Vale	378	1.1%
St Kilda	374	1.1%
Port Melbourne	371	1.1%
Malvern East	369	1.1%
Prahran	336	1.0%
Thornbury	322	0.9%
Bentleigh	319	0.9%
Balwyn	319	0.9%
Other values (326)	24010	68.9%

Length

Max length	18
Median length	9
Mean length	9.819175488
Min length	3

Overview of Unicode Properties

Unique unicode characters	49
Unique unicode categories (?)	3
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	30789	9.0%
r	28896	8.4%
o	28824	8.4%
n	24963	7.3%
a	23548	6.9%
t	20717	6.1%
l	19189	5.6%
i	15833	4.6%
s	15495	4.5%
	13250	3.9%
h	11319	3.3%
u	8775	2.6%
d	7775	2.3%
g	6764	2.0%
w	6649	1.9%
b	6308	1.8%
B	5069	1.5%
y	4747	1.4%
c	4458	1.3%
m	4373	1.3%
M	4335	1.3%
k	4180	1.2%
E	4089	1.2%
S	3679	1.1%
C	3605	1.1%
Other values (24)	34638	10.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	280783	82.0%
Uppercase Letter	48234	14.1%
Space Separator	13250	3.9%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
B	5069	10.5%
M	4335	9.0%
E	4089	8.5%
S	3679	7.6%
C	3605	7.5%
H	3479	7.2%
P	3107	6.4%
N	2805	5.8%
W	2714	5.6%
A	2309	4.8%
R	1985	4.1%
K	1910	4.0%
G	1658	3.4%
F	1551	3.2%
T	1259	2.6%
D	978	2.0%
V	949	2.0%
Y	790	1.6%
I	782	1.6%
O	574	1.2%
L	548	1.1%
J	55	0.1%
U	4	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	30789	11.0%
r	28896	10.3%
o	28824	10.3%
n	24963	8.9%
a	23548	8.4%
t	20717	7.4%
l	19189	6.8%
i	15833	5.6%
s	15495	5.5%
h	11319	4.0%
u	8775	3.1%
d	7775	2.8%
g	6764	2.4%
w	6649	2.4%
b	6308	2.2%
y	4747	1.7%
c	4458	1.6%
m	4373	1.6%
k	4180	1.5%
v	3431	1.2%
p	2211	0.8%
f	959	0.3%
z	335	0.1%
x	229	0.1%
j	16	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	13250	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	329017	96.1%
Common	13250	3.9%

Most frequent Latin characters

Value	Count	Frequency (%)
e	30789	9.4%
r	28896	8.8%
o	28824	8.8%
n	24963	7.6%
a	23548	7.2%
t	20717	6.3%
l	19189	5.8%
i	15833	4.8%
s	15495	4.7%
h	11319	3.4%
u	8775	2.7%
d	7775	2.4%
g	6764	2.1%
w	6649	2.0%
b	6308	1.9%
B	5069	1.5%
y	4747	1.4%
c	4458	1.4%
m	4373	1.3%
M	4335	1.3%
k	4180	1.3%
E	4089	1.2%
S	3679	1.1%
C	3605	1.1%
H	3479	1.1%
Other values (23)	31159	9.5%

Most frequent Common characters

Value	Count	Frequency (%)
	13250	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	342267	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	30789	9.0%
r	28896	8.4%
o	28824	8.4%
n	24963	7.3%
a	23548	6.9%
t	20717	6.1%
l	19189	5.6%
i	15833	4.6%
s	15495	4.5%
	13250	3.9%
h	11319	3.3%
u	8775	2.6%
d	7775	2.3%
g	6764	2.0%
w	6649	1.9%
b	6308	1.8%
B	5069	1.5%
y	4747	1.4%
c	4458	1.3%
m	4373	1.3%
M	4335	1.3%
k	4180	1.2%
E	4089	1.2%
S	3679	1.1%
C	3605	1.1%
Other values (24)	34638	10.1%

Address
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count	34009
Unique (%)	97.6%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

5 Charles St	6
25 William St	4
3 Charles St	3
13 George St	3
2 George St	3
Other values (34004)	34838

Value	Count	Frequency (%)
5 Charles St	6	< 0.1%
25 William St	4	< 0.1%
3 Charles St	3	< 0.1%
13 George St	3	< 0.1%
2 George St	3	< 0.1%
28 Blair St	3	< 0.1%
5 Margaret St	3	< 0.1%
33 McCracken St	3	< 0.1%
39 Moore St	3	< 0.1%
14 James St	3	< 0.1%
176 Darebin Rd	3	< 0.1%
57 Bay Rd	3	< 0.1%
7 Churchill Av	3	< 0.1%
54 Charles St	3	< 0.1%
13 Robinson St	3	< 0.1%
7 Hope St	3	< 0.1%
2 Bruce St	3	< 0.1%
16 Smith St	3	< 0.1%
3 Donald St	3	< 0.1%
14 Arthur St	3	< 0.1%
36 Aberfeldie St	3	< 0.1%
1/1 Clarendon St	3	< 0.1%
1 Bruce St	3	< 0.1%
21 May St	3	< 0.1%
14 Rose St	3	< 0.1%
Other values (33984)	34778	99.8%

Length

Max length	27
Median length	13
Mean length	13.55136701
Min length	8

Overview of Unicode Properties

Unique unicode characters	64
Unique unicode categories (?)	5
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
	70199	14.9%
t	29720	6.3%
e	24774	5.2%
r	22874	4.8%
a	22075	4.7%
S	19703	4.2%
n	18967	4.0%
1	18081	3.8%
o	17069	3.6%
l	16609	3.5%
d	14673	3.1%
i	13090	2.8%
2	12537	2.7%
/	10195	2.2%
3	9751	2.1%
s	8861	1.9%
R	8445	1.8%
4	7861	1.7%
5	6911	1.5%
C	6463	1.4%
h	6407	1.4%
A	6076	1.3%
6	5934	1.3%
v	5722	1.2%
y	5466	1.2%
Other values (39)	83897	17.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	238995	50.6%
Decimal Number	81436	17.2%
Uppercase Letter	71535	15.1%
Space Separator	70199	14.9%
Other Punctuation	10195	2.2%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	18081	22.2%
2	12537	15.4%
3	9751	12.0%
4	7861	9.7%
5	6911	8.5%
6	5934	7.3%
7	5454	6.7%
0	5328	6.5%
8	5091	6.3%
9	4488	5.5%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	70199	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	19703	27.5%
R	8445	11.8%
C	6463	9.0%
A	6076	8.5%
B	3679	5.1%
M	3246	4.5%
D	2920	4.1%
P	2782	3.9%
G	2649	3.7%
W	2547	3.6%
H	2287	3.2%
L	1862	2.6%
T	1551	2.2%
E	1289	1.8%
K	1177	1.6%
F	1068	1.5%
N	1050	1.5%
O	681	1.0%
V	662	0.9%
J	496	0.7%
I	328	0.5%
Y	239	0.3%
Q	179	0.3%
U	119	0.2%
Z	31	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
t	29720	12.4%
e	24774	10.4%
r	22874	9.6%
a	22075	9.2%
n	18967	7.9%
o	17069	7.1%
l	16609	6.9%
d	14673	6.1%
i	13090	5.5%
s	8861	3.7%
h	6407	2.7%
v	5722	2.4%
y	5466	2.3%
u	5353	2.2%
m	4603	1.9%
c	4567	1.9%
g	4377	1.8%
w	3244	1.4%
b	3201	1.3%
k	3107	1.3%
p	1841	0.8%
f	1493	0.6%
x	505	0.2%
z	252	0.1%
q	77	< 0.1%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
/	10195	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	310530	65.7%
Common	161830	34.3%

Most frequent Common characters

Value	Count	Frequency (%)
	70199	43.4%
1	18081	11.2%
2	12537	7.7%
/	10195	6.3%
3	9751	6.0%
4	7861	4.9%
5	6911	4.3%
6	5934	3.7%
7	5454	3.4%
0	5328	3.3%
8	5091	3.1%
9	4488	2.8%

Most frequent Latin characters

Value	Count	Frequency (%)
t	29720	9.6%
e	24774	8.0%
r	22874	7.4%
a	22075	7.1%
S	19703	6.3%
n	18967	6.1%
o	17069	5.5%
l	16609	5.3%
d	14673	4.7%
i	13090	4.2%
s	8861	2.9%
R	8445	2.7%
C	6463	2.1%
h	6407	2.1%
A	6076	2.0%
v	5722	1.8%
y	5466	1.8%
u	5353	1.7%
m	4603	1.5%
c	4567	1.5%
g	4377	1.4%
B	3679	1.2%
M	3246	1.0%
w	3244	1.0%
b	3201	1.0%
Other values (27)	31266	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	472360	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
	70199	14.9%
t	29720	6.3%
e	24774	5.2%
r	22874	4.8%
a	22075	4.7%
S	19703	4.2%
n	18967	4.0%
1	18081	3.8%
o	17069	3.6%
l	16609	3.5%
d	14673	3.1%
i	13090	2.8%
2	12537	2.7%
/	10195	2.2%
3	9751	2.1%
s	8861	1.9%
R	8445	1.8%
4	7861	1.7%
5	6911	1.5%
C	6463	1.4%
h	6407	1.4%
A	6076	1.3%
6	5934	1.3%
v	5722	1.2%
y	5466	1.2%
Other values (39)	83897	17.8%

Rooms
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct count	12
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.0310124221820582
Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	16
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9699329349
Coefficient of variation (CV)	0.320002956
Kurtosis	2.511708654
Mean	3.031012422
Median Absolute Deviation (MAD)	1
Skewness	0.4990968808
Sum	105652
Variance	0.9407698982

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	15084	43.3%
2	8332	23.9%
4	7956	22.8%
5	1737	5.0%
1	1479	4.2%
6	204	0.6%
7	32	0.1%
8	19	0.1%
10	6	< 0.1%
9	4	< 0.1%
12	3	< 0.1%
16	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1479	4.2%
2	8332	23.9%
3	15084	43.3%
4	7956	22.8%
5	1737	5.0%
6	204	0.6%
7	32	0.1%
8	19	0.1%
9	4	< 0.1%
10	6	< 0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
12	3	< 0.1%
10	6	< 0.1%
9	4	< 0.1%
8	19	0.1%
7	32	0.1%
6	204	0.6%
5	1737	5.0%
4	7956	22.8%
3	15084	43.3%

Type
Categorical

Distinct count	3
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

h	23980
u	7297
t	3580

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34857	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	34857	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34857	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Price
Real number (ℝ_≥0)

MISSING

Distinct count	2871
Unique (%)	10.5%
Missing	7610
Missing (%)	21.8%
Infinite	0
Infinite (%)	0.0%

Mean	1050173.344955408
Minimum	85000.0
Maximum	11200000.0
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	85000
5-th percentile	415000
Q1	635000
median	870000
Q3	1295000
95-th percentile	2250000
Maximum	11200000
Range	11115000
Interquartile range (IQR)	660000

Descriptive statistics

Standard deviation	641467.1301
Coefficient of variation (CV)	0.6108202357
Kurtosis	13.09720052
Mean	1050173.345
Median Absolute Deviation (MAD)	290000
Skewness	2.588969341
Sum	2.861407313e+10
Variance	4.11480079e+11

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
600000	235	0.7%
1100000	235	0.7%
650000	219	0.6%
800000	217	0.6%
1300000	210	0.6%
1000000	205	0.6%
1200000	204	0.6%
700000	197	0.6%
750000	194	0.6%
900000	191	0.5%
850000	176	0.5%
950000	172	0.5%
1250000	158	0.5%
1500000	153	0.4%
500000	153	0.4%
1400000	150	0.4%
1150000	149	0.4%
550000	141	0.4%
1050000	139	0.4%
780000	136	0.4%
770000	131	0.4%
720000	128	0.4%
1350000	125	0.4%
630000	124	0.4%
730000	124	0.4%
Other values (2846)	22981	65.9%
(Missing)	7610	21.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
85000	1	< 0.1%
112000	1	< 0.1%
121000	1	< 0.1%
131000	1	< 0.1%
145000	2	< 0.1%
160000	1	< 0.1%
170000	2	< 0.1%
185000	2	< 0.1%
190000	1	< 0.1%
200000	2	< 0.1%

Value	Count	Frequency (%)
11200000	1	< 0.1%
9000000	1	< 0.1%
8000000	1	< 0.1%
7650000	1	< 0.1%
7000000	1	< 0.1%
6800000	1	< 0.1%
6600000	1	< 0.1%
6500000	2	< 0.1%
6460000	1	< 0.1%
6400000	2	< 0.1%

Method
Categorical

Distinct count	9
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

S	19744
SP	5095
PI	4850
VB	3108
SN	1317
Other values (4)	743

Value	Count	Frequency (%)
S	19744	56.6%
SP	5095	14.6%
PI	4850	13.9%
VB	3108	8.9%
SN	1317	3.8%
PN	308	0.9%
SA	226	0.6%
W	173	0.5%
SS	36	0.1%

Length

Max length	2
Median length	1
Mean length	1.428608314
Min length	1

Overview of Unicode Properties

Unique unicode characters	8
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	49797	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49797	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49797	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

SellerG
Categorical

HIGH CARDINALITY

Distinct count	388
Unique (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

Jellis	3359
Nelson	3236
Barry	3235
hockingstuart	2623
Marshall	2027
Other values (383)	20377

Value	Count	Frequency (%)
Jellis	3359	9.6%
Nelson	3236	9.3%
Barry	3235	9.3%
hockingstuart	2623	7.5%
Marshall	2027	5.8%
Ray	1950	5.6%
Buxton	1868	5.4%
Biggin	897	2.6%
Fletchers	861	2.5%
Woodards	714	2.0%
Brad	701	2.0%
McGrath	602	1.7%
Noel	524	1.5%
Greg	519	1.5%
RT	516	1.5%
Miles	478	1.4%
YPA	473	1.4%
Jas	457	1.3%
Harcourts	447	1.3%
Stockdale	420	1.2%
Hodges	413	1.2%
Gary	413	1.2%
Sweeney	411	1.2%
Kay	360	1.0%
Raine	326	0.9%
Other values (363)	7027	20.2%

Length

Max length	27
Median length	6
Mean length	6.291533982
Min length	1

Overview of Unicode Properties

Unique unicode characters	58
Unique unicode categories (?)	4
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
l	19452	8.9%
a	19036	8.7%
r	18356	8.4%
s	16592	7.6%
e	15693	7.2%
o	13550	6.2%
n	12384	5.6%
i	11972	5.5%
t	10132	4.6%
B	7433	3.4%
h	7348	3.4%
y	6752	3.1%
g	6203	2.8%
u	5749	2.6%
c	5738	2.6%
J	4047	1.8%
N	4009	1.8%
R	3806	1.7%
k	3739	1.7%
M	3715	1.7%
d	3698	1.7%
x	1990	0.9%
G	1631	0.7%
W	1460	0.7%
H	1368	0.6%
Other values (33)	13451	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	181580	82.8%
Uppercase Letter	36864	16.8%
Other Punctuation	542	0.2%
Decimal Number	318	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
B	7433	20.2%
J	4047	11.0%
N	4009	10.9%
R	3806	10.3%
M	3715	10.1%
G	1631	4.4%
W	1460	4.0%
H	1368	3.7%
P	1149	3.1%
F	1068	2.9%
A	1056	2.9%
S	999	2.7%
C	942	2.6%
T	913	2.5%
L	770	2.1%
D	535	1.5%
Y	475	1.3%
K	411	1.1%
O	316	0.9%
E	307	0.8%
V	234	0.6%
I	183	0.5%
X	18	< 0.1%
U	17	< 0.1%
Z	1	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
l	19452	10.7%
a	19036	10.5%
r	18356	10.1%
s	16592	9.1%
e	15693	8.6%
o	13550	7.5%
n	12384	6.8%
i	11972	6.6%
t	10132	5.6%
h	7348	4.0%
y	6752	3.7%
g	6203	3.4%
u	5749	3.2%
c	5738	3.2%
k	3739	2.1%
d	3698	2.0%
x	1990	1.1%
m	912	0.5%
w	729	0.4%
p	476	0.3%
b	460	0.3%
v	431	0.2%
z	102	0.1%
f	71	< 0.1%
q	15	< 0.1%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
'	318	58.7%
.	101	18.6%
&	72	13.3%
/	39	7.2%
@	12	2.2%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	159	50.0%
1	159	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	218444	99.6%
Common	860	0.4%

Most frequent Latin characters

Value	Count	Frequency (%)
l	19452	8.9%
a	19036	8.7%
r	18356	8.4%
s	16592	7.6%
e	15693	7.2%
o	13550	6.2%
n	12384	5.7%
i	11972	5.5%
t	10132	4.6%
B	7433	3.4%
h	7348	3.4%
y	6752	3.1%
g	6203	2.8%
u	5749	2.6%
c	5738	2.6%
J	4047	1.9%
N	4009	1.8%
R	3806	1.7%
k	3739	1.7%
M	3715	1.7%
d	3698	1.7%
x	1990	0.9%
G	1631	0.7%
W	1460	0.7%
H	1368	0.6%
Other values (26)	12591	5.8%

Most frequent Common characters

Value	Count	Frequency (%)
'	318	37.0%
2	159	18.5%
1	159	18.5%
.	101	11.7%
&	72	8.4%
/	39	4.5%
@	12	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219304	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
l	19452	8.9%
a	19036	8.7%
r	18356	8.4%
s	16592	7.6%
e	15693	7.2%
o	13550	6.2%
n	12384	5.6%
i	11972	5.5%
t	10132	4.6%
B	7433	3.4%
h	7348	3.4%
y	6752	3.1%
g	6203	2.8%
u	5749	2.6%
c	5738	2.6%
J	4047	1.8%
N	4009	1.8%
R	3806	1.7%
k	3739	1.7%
M	3715	1.7%
d	3698	1.7%
x	1990	0.9%
G	1631	0.7%
W	1460	0.7%
H	1368	0.6%
Other values (33)	13451	6.1%

Date
Categorical

HIGH CARDINALITY

Distinct count	78
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

28/10/2017	1119
17/03/2018	970
24/02/2018	941
9/12/2017	927
25/11/2017	902
Other values (73)	29998

Value	Count	Frequency (%)
28/10/2017	1119	3.2%
17/03/2018	970	2.8%
24/02/2018	941	2.7%
9/12/2017	927	2.7%
25/11/2017	902	2.6%
18/11/2017	866	2.5%
3/03/2018	846	2.4%
6/01/2018	787	2.3%
27/05/2017	770	2.2%
23/09/2017	742	2.1%
16/09/2017	730	2.1%
11/11/2017	729	2.1%
3/06/2017	689	2.0%
14/10/2017	678	1.9%
21/10/2017	658	1.9%
26/08/2017	647	1.9%
17/06/2017	637	1.8%
24/06/2017	607	1.7%
9/09/2017	598	1.7%
7/10/2017	593	1.7%
27/11/2016	575	1.6%
3/09/2017	567	1.6%
25/02/2017	555	1.6%
12/08/2017	546	1.6%
4/03/2017	532	1.5%
Other values (53)	16646	47.8%

Length

Max length	10
Median length	10
Mean length	9.714748831
Min length	9

Overview of Unicode Properties

Unique unicode characters	11
Unique unicode categories (?)	2
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
/	69714	20.6%
0	65588	19.4%
1	64879	19.2%
2	53914	15.9%
7	28339	8.4%
6	16876	5.0%
8	12653	3.7%
3	7976	2.4%
9	7436	2.2%
5	5760	1.7%
4	5492	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	268913	79.4%
Other Punctuation	69714	20.6%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	65588	24.4%
1	64879	24.1%
2	53914	20.0%
7	28339	10.5%
6	16876	6.3%
8	12653	4.7%
3	7976	3.0%
9	7436	2.8%
5	5760	2.1%
4	5492	2.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
/	69714	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	338627	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
/	69714	20.6%
0	65588	19.4%
1	64879	19.2%
2	53914	15.9%
7	28339	8.4%
6	16876	5.0%
8	12653	3.7%
3	7976	2.4%
9	7436	2.2%
5	5760	1.7%
4	5492	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338627	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
/	69714	20.6%
0	65588	19.4%
1	64879	19.2%
2	53914	15.9%
7	28339	8.4%
6	16876	5.0%
8	12653	3.7%
3	7976	2.4%
9	7436	2.2%
5	5760	1.7%
4	5492	1.6%

Distance
Real number (ℝ_≥0)

Distinct count	215
Unique (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	11.184929423915538
Minimum	0.0
Maximum	48.1
Zeros	77
Zeros (%)	0.2%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2.7
Q1	6.4
median	10.3
Q3	14
95-th percentile	24.7
Maximum	48.1
Range	48.1
Interquartile range (IQR)	7.6

Descriptive statistics

Standard deviation	6.788892456
Coefficient of variation (CV)	0.6069678403
Kurtosis	3.585924276
Mean	11.18492942
Median Absolute Deviation (MAD)	3.85
Skewness	1.503585816
Sum	389861.9
Variance	46.08906078

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
11.2	1420	4.1%
13.8	681	2.0%
9.2	665	1.9%
7.8	662	1.9%
10.5	660	1.9%
8.4	604	1.7%
4.6	585	1.7%
14.7	566	1.6%
5.2	565	1.6%
11.4	521	1.5%
13.9	499	1.4%
9.7	470	1.3%
7.5	468	1.3%
6.4	459	1.3%
5.3	437	1.3%
13	427	1.2%
14	425	1.2%
6.2	403	1.2%
12	400	1.1%
16.7	394	1.1%
8.8	389	1.1%
7.7	384	1.1%
6.3	366	1.1%
20.6	356	1.0%
5.9	353	1.0%
Other values (190)	21697	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	77	0.2%
0.7	29	0.1%
1.2	47	0.1%
1.3	30	0.1%
1.4	6	< 0.1%
1.5	29	0.1%
1.6	194	0.6%
1.8	152	0.4%
1.9	148	0.4%
2	52	0.1%

Value	Count	Frequency (%)
48.1	6	< 0.1%
47.4	7	< 0.1%
47.3	20	0.1%
45.9	33	0.1%
45.2	2	< 0.1%
44.2	20	0.1%
43.4	5	< 0.1%
43.3	6	< 0.1%
41	18	0.1%
39.8	2	< 0.1%

Postcode
Real number (ℝ_≥0)

Distinct count	211
Unique (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	3116.062858618315
Minimum	3000.0
Maximum	3978.0
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	3000
5-th percentile	3015
Q1	3051
median	3103
Q3	3156
95-th percentile	3204
Maximum	3978
Range	978
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	109.0239027
Coefficient of variation (CV)	0.03498770971
Kurtosis	22.78373808
Mean	3116.062859
Median Absolute Deviation (MAD)	52
Skewness	4.018785705
Sum	108613487
Variance	11886.21137

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3073	844	2.4%
3046	638	1.8%
3020	617	1.8%
3121	612	1.8%
3165	583	1.7%
3058	556	1.6%
3040	535	1.5%
3204	518	1.5%
3163	508	1.5%
3012	497	1.4%
3032	497	1.4%
3146	491	1.4%
3072	485	1.4%
3181	468	1.3%
3101	467	1.3%
3186	456	1.3%
3056	444	1.3%
3084	442	1.3%
3141	435	1.2%
3122	428	1.2%
3070	424	1.2%
3124	423	1.2%
3104	420	1.2%
3127	405	1.2%
3188	395	1.1%
Other values (186)	22268	63.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3000	204	0.6%
3002	59	0.2%
3003	66	0.2%
3006	76	0.2%
3008	16	< 0.1%
3011	375	1.1%
3012	497	1.4%
3013	304	0.9%
3015	345	1.0%
3016	240	0.7%

Value	Count	Frequency (%)
3978	5	< 0.1%
3977	33	0.1%
3976	7	< 0.1%
3975	2	< 0.1%
3910	18	0.1%
3810	20	0.1%
3809	6	< 0.1%
3808	2	< 0.1%
3807	7	< 0.1%
3806	47	0.1%

Bedroom2
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct count	15
Unique (%)	0.1%
Missing	8217
Missing (%)	23.6%
Infinite	0
Infinite (%)	0.0%

Mean	3.0846471471471473
Minimum	0.0
Maximum	30.0
Zeros	17
Zeros (%)	< 0.1%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	30
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9806897285
Coefficient of variation (CV)	0.3179260647
Kurtosis	26.80745531
Mean	3.084647147
Median Absolute Deviation (MAD)	1
Skewness	1.406365679
Sum	82175
Variance	0.9617523437

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	11881	34.1%
4	6348	18.2%
2	5777	16.6%
5	1427	4.1%
1	966	2.8%
6	168	0.5%
7	30	0.1%
0	17	< 0.1%
8	13	< 0.1%
9	5	< 0.1%
10	4	< 0.1%
30	1	< 0.1%
12	1	< 0.1%
20	1	< 0.1%
16	1	< 0.1%
(Missing)	8217	23.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17	< 0.1%
1	966	2.8%
2	5777	16.6%
3	11881	34.1%
4	6348	18.2%
5	1427	4.1%
6	168	0.5%
7	30	0.1%
8	13	< 0.1%
9	5	< 0.1%

Value	Count	Frequency (%)
30	1	< 0.1%
20	1	< 0.1%
16	1	< 0.1%
12	1	< 0.1%
10	4	< 0.1%
9	5	< 0.1%
8	13	< 0.1%
7	30	0.1%
6	168	0.5%
5	1427	4.1%

Bathroom
Real number (ℝ_≥0)

MISSING

Distinct count	11
Unique (%)	< 0.1%
Missing	8226
Missing (%)	23.6%
Infinite	0
Infinite (%)	0.0%

Mean	1.624798167549097
Minimum	0.0
Maximum	12.0
Zeros	46
Zeros (%)	0.1%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7242120115
Coefficient of variation (CV)	0.4457242911
Kurtosis	4.861008943
Mean	1.624798168
Median Absolute Deviation (MAD)	1
Skewness	1.356293032
Sum	43270
Variance	0.5244830376

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	12969	37.2%
2	11064	31.7%
3	2181	6.3%
4	269	0.8%
5	77	0.2%
0	46	0.1%
6	16	< 0.1%
7	4	< 0.1%
8	3	< 0.1%
12	1	< 0.1%
9	1	< 0.1%
(Missing)	8226	23.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46	0.1%
1	12969	37.2%
2	11064	31.7%
3	2181	6.3%
4	269	0.8%
5	77	0.2%
6	16	< 0.1%
7	4	< 0.1%
8	3	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
9	1	< 0.1%
8	3	< 0.1%
7	4	< 0.1%
6	16	< 0.1%
5	77	0.2%
4	269	0.8%
3	2181	6.3%
2	11064	31.7%
1	12969	37.2%

Car
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct count	15
Unique (%)	0.1%
Missing	8728
Missing (%)	25.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.7288453442535114
Minimum	0.0
Maximum	26.0
Zeros	1631
Zeros (%)	4.7%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	26
Range	26
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.010770785
Coefficient of variation (CV)	0.5846507837
Kurtosis	20.85932625
Mean	1.728845344
Median Absolute Deviation (MAD)	1
Skewness	2.09517618
Sum	45173
Variance	1.021657581

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	12214	35.0%
1	9164	26.3%
0	1631	4.7%
3	1606	4.6%
4	1161	3.3%
5	151	0.4%
6	140	0.4%
7	25	0.1%
8	23	0.1%
10	6	< 0.1%
9	3	< 0.1%
11	2	< 0.1%
26	1	< 0.1%
12	1	< 0.1%
18	1	< 0.1%
(Missing)	8728	25.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1631	4.7%
1	9164	26.3%
2	12214	35.0%
3	1606	4.6%
4	1161	3.3%
5	151	0.4%
6	140	0.4%
7	25	0.1%
8	23	0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
26	1	< 0.1%
18	1	< 0.1%
12	1	< 0.1%
11	2	< 0.1%
10	6	< 0.1%
9	3	< 0.1%
8	23	0.1%
7	25	0.1%
6	140	0.4%
5	151	0.4%

Landsize
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct count	1684
Unique (%)	7.3%
Missing	11810
Missing (%)	33.9%
Infinite	0
Infinite (%)	0.0%

Mean	593.598993361392
Minimum	0.0
Maximum	433014.0
Zeros	2437
Zeros (%)	7.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	224
median	521
Q3	670
95-th percentile	1001
Maximum	433014
Range	433014
Interquartile range (IQR)	446

Descriptive statistics

Standard deviation	3398.841946
Coefficient of variation (CV)	5.725821614
Kurtosis	11580.16251
Mean	593.5989934
Median Absolute Deviation (MAD)	210
Skewness	96.02231136
Sum	13680676
Variance	11552126.58

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	2437	7.0%
650	204	0.6%
697	123	0.4%
585	97	0.3%
700	86	0.2%
604	84	0.2%
534	81	0.2%
696	80	0.2%
652	68	0.2%
600	68	0.2%
400	66	0.2%
590	64	0.2%
581	61	0.2%
557	60	0.2%
530	60	0.2%
653	60	0.2%
660	58	0.2%
602	58	0.2%
603	58	0.2%
654	58	0.2%
651	57	0.2%
613	56	0.2%
531	55	0.2%
649	54	0.2%
725	54	0.2%
Other values (1659)	18840	54.0%
(Missing)	11810	33.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2437	7.0%
1	3	< 0.1%
2	1	< 0.1%
3	2	< 0.1%
5	1	< 0.1%
10	1	< 0.1%
14	1	< 0.1%
15	2	< 0.1%
17	1	< 0.1%
18	1	< 0.1%

Value	Count	Frequency (%)
433014	1	< 0.1%
146699	1	< 0.1%
89030	1	< 0.1%
80000	1	< 0.1%
76000	1	< 0.1%
75100	1	< 0.1%
44500	1	< 0.1%
42800	1	< 0.1%
41400	1	< 0.1%
40500	1	< 0.1%

BuildingArea
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct count	740
Unique (%)	5.4%
Missing	21115
Missing (%)	60.6%
Infinite	0
Infinite (%)	0.0%

Mean	160.25640035657113
Minimum	0.0
Maximum	44515.0
Zeros	76
Zeros (%)	0.2%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	56
Q1	102
median	136
Q3	188
95-th percentile	310
Maximum	44515
Range	44515
Interquartile range (IQR)	86

Descriptive statistics

Standard deviation	401.2670601
Coefficient of variation (CV)	2.50390661
Kurtosis	10877.52575
Mean	160.2564004
Median Absolute Deviation (MAD)	41
Skewness	99.13257937
Sum	2202243.454
Variance	161015.2535

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
120	185	0.5%
100	161	0.5%
110	159	0.5%
130	153	0.4%
115	149	0.4%
140	142	0.4%
150	136	0.4%
160	123	0.4%
112	123	0.4%
125	119	0.3%
105	110	0.3%
180	110	0.3%
145	102	0.3%
108	101	0.3%
104	101	0.3%
90	100	0.3%
102	100	0.3%
80	100	0.3%
132	99	0.3%
135	99	0.3%
133	98	0.3%
170	96	0.3%
95	95	0.3%
118	94	0.3%
123	94	0.3%
Other values (715)	10793	31.0%
(Missing)	21115	60.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	76	0.2%
0.01	1	< 0.1%
1	15	< 0.1%
2	20	0.1%
3	25	0.1%
4	6	< 0.1%
5	4	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
44515	1	< 0.1%
6791	1	< 0.1%
6178	1	< 0.1%
4645	1	< 0.1%
3647	1	< 0.1%
3558	1	< 0.1%
3112	1	< 0.1%
2002	1	< 0.1%
1561	1	< 0.1%
1143	1	< 0.1%

YearBuilt
Real number (ℝ_≥0)

MISSING

Distinct count	160
Unique (%)	1.0%
Missing	19306
Missing (%)	55.4%
Infinite	0
Infinite (%)	0.0%

Mean	1965.289884894862
Minimum	1196.0
Maximum	2106.0
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	1196
5-th percentile	1900
Q1	1940
median	1970
Q3	2000
95-th percentile	2013
Maximum	2106
Range	910
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	37.32817802
Coefficient of variation (CV)	0.01899372622
Kurtosis	10.89861685
Mean	1965.289885
Median Absolute Deviation (MAD)	30
Skewness	-1.080913147
Sum	30562223
Variance	1393.392875

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1970	1490	4.3%
1960	1260	3.6%
1950	1089	3.1%
1980	726	2.1%
1900	606	1.7%
2000	571	1.6%
1920	545	1.6%
1930	531	1.5%
1910	460	1.3%
1890	444	1.3%
1940	406	1.2%
1975	387	1.1%
2010	365	1.0%
1990	361	1.0%
2012	333	1.0%
2005	276	0.8%
1965	260	0.7%
2013	247	0.7%
2011	241	0.7%
2009	229	0.7%
1985	229	0.7%
1995	215	0.6%
2014	212	0.6%
2008	202	0.6%
2007	200	0.6%
Other values (135)	3666	10.5%
(Missing)	19306	55.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1196	1	< 0.1%
1800	1	< 0.1%
1820	1	< 0.1%
1830	1	< 0.1%
1850	4	< 0.1%
1854	2	< 0.1%
1855	1	< 0.1%
1856	1	< 0.1%
1857	2	< 0.1%
1860	11	< 0.1%

Value	Count	Frequency (%)
2106	1	< 0.1%
2019	1	< 0.1%
2018	4	< 0.1%
2017	82	0.2%
2016	130	0.4%
2015	156	0.4%
2014	212	0.6%
2013	247	0.7%
2012	333	1.0%
2011	241	0.7%

CouncilArea
Categorical

Distinct count	33
Unique (%)	0.1%
Missing	3
Missing (%)	< 0.1%
Memory size	272.4 KiB

Boroondara City Council	3675
Darebin City Council	2851
Moreland City Council	2122
Glen Eira City Council	2006
Melbourne City Council	1952
Other values (28)	22248

Value	Count	Frequency (%)
Boroondara City Council	3675	10.5%
Darebin City Council	2851	8.2%
Moreland City Council	2122	6.1%
Glen Eira City Council	2006	5.8%
Melbourne City Council	1952	5.6%
Banyule City Council	1861	5.3%
Moonee Valley City Council	1791	5.1%
Bayside City Council	1764	5.1%
Brimbank City Council	1593	4.6%
Monash City Council	1466	4.2%
Stonnington City Council	1460	4.2%
Maribyrnong City Council	1451	4.2%
Port Phillip City Council	1280	3.7%
Hume City Council	1214	3.5%
Yarra City Council	1186	3.4%
Manningham City Council	1046	3.0%
Hobsons Bay City Council	942	2.7%
Kingston City Council	871	2.5%
Whittlesea City Council	828	2.4%
Wyndham City Council	624	1.8%
Whitehorse City Council	618	1.8%
Maroondah City Council	506	1.5%
Knox City Council	371	1.1%
Greater Dandenong City Council	314	0.9%
Melton City Council	292	0.8%
Other values (8)	770	2.2%

Length

Max length	30
Median length	22
Mean length	21.73256448
Min length	3

Overview of Unicode Properties

Unique unicode characters	37
Unique unicode categories (?)	3
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
i	87034	11.5%
	76189	10.1%
n	72291	9.5%
C	69621	9.2%
o	66378	8.8%
l	50280	6.6%
y	43159	5.7%
t	42811	5.7%
u	39969	5.3%
c	34920	4.6%
a	33709	4.4%
r	27026	3.6%
e	25915	3.4%
M	10699	1.4%
B	9835	1.3%
d	9092	1.2%
b	8884	1.2%
s	8045	1.1%
h	7310	1.0%
g	5290	0.7%
m	4565	0.6%
D	3165	0.4%
P	2560	0.3%
G	2320	0.3%
H	2156	0.3%
Other values (12)	14309	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	570300	75.3%
Uppercase Letter	111043	14.7%
Space Separator	76189	10.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
C	69621	62.7%
M	10699	9.6%
B	9835	8.9%
D	3165	2.9%
P	2560	2.3%
G	2320	2.1%
H	2156	1.9%
W	2070	1.9%
E	2006	1.8%
V	1791	1.6%
S	1764	1.6%
Y	1288	1.2%
K	1242	1.1%
F	290	0.3%
R	148	0.1%
N	88	0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
i	87034	15.3%
n	72291	12.7%
o	66378	11.6%
l	50280	8.8%
y	43159	7.6%
t	42811	7.5%
u	39969	7.0%
c	34920	6.1%
a	33709	5.9%
r	27026	4.7%
e	25915	4.5%
d	9092	1.6%
b	8884	1.6%
s	8045	1.4%
h	7310	1.3%
g	5290	0.9%
m	4565	0.8%
k	1971	0.3%
p	1280	0.2%
x	371	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	76189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	681343	89.9%
Common	76189	10.1%

Most frequent Latin characters

Value	Count	Frequency (%)
i	87034	12.8%
n	72291	10.6%
C	69621	10.2%
o	66378	9.7%
l	50280	7.4%
y	43159	6.3%
t	42811	6.3%
u	39969	5.9%
c	34920	5.1%
a	33709	4.9%
r	27026	4.0%
e	25915	3.8%
M	10699	1.6%
B	9835	1.4%
d	9092	1.3%
b	8884	1.3%
s	8045	1.2%
h	7310	1.1%
g	5290	0.8%
m	4565	0.7%
D	3165	0.5%
P	2560	0.4%
G	2320	0.3%
H	2156	0.3%
W	2070	0.3%
Other values (11)	12239	1.8%

Most frequent Common characters

Value	Count	Frequency (%)
	76189	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	757532	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
i	87034	11.5%
	76189	10.1%
n	72291	9.5%
C	69621	9.2%
o	66378	8.8%
l	50280	6.6%
y	43159	5.7%
t	42811	5.7%
u	39969	5.3%
c	34920	4.6%
a	33709	4.4%
r	27026	3.6%
e	25915	3.4%
M	10699	1.4%
B	9835	1.3%
d	9092	1.2%
b	8884	1.2%
s	8045	1.1%
h	7310	1.0%
g	5290	0.7%
m	4565	0.6%
D	3165	0.4%
P	2560	0.3%
G	2320	0.3%
H	2156	0.3%
Other values (12)	14309	1.9%

Lattitude
Real number (ℝ)

MISSING

Distinct count	13402
Unique (%)	49.9%
Missing	7976
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%

Mean	-37.810634295599115
Minimum	-38.19043
Maximum	-37.3902
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	-38.19043
5-th percentile	-37.9485
Q1	-37.86295
median	-37.8076
Q3	-37.7541
95-th percentile	-37.67519
Maximum	-37.3902
Range	0.80023
Interquartile range (IQR)	0.10885

Descriptive statistics

Standard deviation	0.09027890451
Coefficient of variation (CV)	-0.002387659086
Kurtosis	1.544527049
Mean	-37.8106343
Median Absolute Deviation (MAD)	0.05448
Skewness	-0.2576614223
Sum	-1016387.66
Variance	0.008150280599

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
-37.8361	25	0.1%
-37.8424	22	0.1%
-37.8198	20	0.1%
-37.7956	20	0.1%
-37.8414	18	0.1%
-37.7969	18	0.1%
-37.8536	17	< 0.1%
-37.7941	17	< 0.1%
-37.7634	17	< 0.1%
-37.8127	16	< 0.1%
-37.858	16	< 0.1%
-37.847	16	< 0.1%
-37.851	16	< 0.1%
-37.8573	16	< 0.1%
-37.8161	16	< 0.1%
-37.7818	16	< 0.1%
-37.8167	15	< 0.1%
-37.7829	15	< 0.1%
-37.7964	15	< 0.1%
-37.7839	15	< 0.1%
-37.7776	15	< 0.1%
-37.8571	15	< 0.1%
-37.8288	15	< 0.1%
-37.8597	15	< 0.1%
-37.7765	15	< 0.1%
Other values (13377)	26460	75.9%
(Missing)	7976	22.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-38.19043	1	< 0.1%
-38.1856	1	< 0.1%
-38.18463	1	< 0.1%
-38.18418	1	< 0.1%
-38.18415	1	< 0.1%
-38.18255	1	< 0.1%
-38.18163	1	< 0.1%
-38.17928	1	< 0.1%
-38.17829	1	< 0.1%
-38.17745	1	< 0.1%

Value	Count	Frequency (%)
-37.3902	1	< 0.1%
-37.3951	1	< 0.1%
-37.3978	1	< 0.1%
-37.39946	1	< 0.1%
-37.40349	1	< 0.1%
-37.4072	1	< 0.1%
-37.40744	1	< 0.1%
-37.40758	1	< 0.1%
-37.40853	1	< 0.1%
-37.40869	1	< 0.1%

Longtitude
Real number (ℝ_≥0)

MISSING

Distinct count	14524
Unique (%)	54.0%
Missing	7976
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%

Mean	145.00185113165432
Minimum	144.42379
Maximum	145.52635
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	144.42379
5-th percentile	144.80008
Q1	144.9335
median	145.0078
Q3	145.0719
95-th percentile	145.1877
Maximum	145.52635
Range	1.10256
Interquartile range (IQR)	0.1384

Descriptive statistics

Standard deviation	0.1201687692
Coefficient of variation (CV)	0.0008287395521
Kurtosis	1.545947474
Mean	145.0018511
Median Absolute Deviation (MAD)	0.06832
Skewness	-0.3948800169
Sum	3897794.76
Variance	0.01444053308

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
144.9966	21	0.1%
144.991	17	< 0.1%
144.985	17	< 0.1%
145.0104	17	< 0.1%
144.9679	16	< 0.1%
144.9911	16	< 0.1%
145.0001	16	< 0.1%
145.0243	16	< 0.1%
144.997	15	< 0.1%
144.9999	15	< 0.1%
145.0017	15	< 0.1%
145.0103	15	< 0.1%
145.0451	15	< 0.1%
144.9974	15	< 0.1%
145.0116	15	< 0.1%
144.9994	14	< 0.1%
145.0545	14	< 0.1%
145.0118	14	< 0.1%
145.0064	14	< 0.1%
145.0322	14	< 0.1%
145.0161	14	< 0.1%
145.0012	14	< 0.1%
145.008	14	< 0.1%
144.9922	14	< 0.1%
145.0178	14	< 0.1%
Other values (14499)	26500	76.0%
(Missing)	7976	22.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
144.42379	1	< 0.1%
144.43162	1	< 0.1%
144.43181	1	< 0.1%
144.4394	1	< 0.1%
144.44051	1	< 0.1%
144.48571	1	< 0.1%
144.49	1	< 0.1%
144.4926	1	< 0.1%
144.513	1	< 0.1%
144.5206	1	< 0.1%

Value	Count	Frequency (%)
145.52635	1	< 0.1%
145.5237	1	< 0.1%
145.51137	1	< 0.1%
145.48985	1	< 0.1%
145.48273	1	< 0.1%
145.48246	1	< 0.1%
145.4779	1	< 0.1%
145.47282	1	< 0.1%
145.47262	1	< 0.1%
145.47052	1	< 0.1%

Regionname
Categorical

Distinct count	8
Unique (%)	< 0.1%
Missing	3
Missing (%)	< 0.1%
Memory size	272.4 KiB

Southern Metropolitan	11836
Northern Metropolitan	9557
Western Metropolitan	6799
Eastern Metropolitan	4377
South-Eastern Metropolitan	1739
Other values (3)	546

Value	Count	Frequency (%)
Southern Metropolitan	11836	34.0%
Northern Metropolitan	9557	27.4%
Western Metropolitan	6799	19.5%
Eastern Metropolitan	4377	12.6%
South-Eastern Metropolitan	1739	5.0%
Eastern Victoria	228	0.7%
Northern Victoria	203	0.6%
Western Victoria	115	0.3%
(Missing)	3	< 0.1%

Length

Max length	26
Median length	21
Mean length	20.85477809
Min length	3

Overview of Unicode Properties

Unique unicode characters	21
Unique unicode categories (?)	4
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
t	105755	14.5%
o	92497	12.7%
r	79468	10.9%
e	76076	10.5%
n	69168	9.5%
a	41201	5.7%
i	35400	4.9%
	34854	4.8%
M	34308	4.7%
p	34308	4.7%
l	34308	4.7%
h	23335	3.2%
S	13575	1.9%
u	13575	1.9%
s	13258	1.8%
N	9760	1.3%
W	6914	1.0%
E	6344	0.9%
-	1739	0.2%
V	546	0.1%
c	546	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	618895	85.1%
Uppercase Letter	71447	9.8%
Space Separator	34854	4.8%
Dash Punctuation	1739	0.2%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	34308	48.0%
S	13575	19.0%
N	9760	13.7%
W	6914	9.7%
E	6344	8.9%
V	546	0.8%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
t	105755	17.1%
o	92497	14.9%
r	79468	12.8%
e	76076	12.3%
n	69168	11.2%
a	41201	6.7%
i	35400	5.7%
p	34308	5.5%
l	34308	5.5%
h	23335	3.8%
u	13575	2.2%
s	13258	2.1%
c	546	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	34854	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	1739	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	690342	95.0%
Common	36593	5.0%

Most frequent Latin characters

Value	Count	Frequency (%)
t	105755	15.3%
o	92497	13.4%
r	79468	11.5%
e	76076	11.0%
n	69168	10.0%
a	41201	6.0%
i	35400	5.1%
M	34308	5.0%
p	34308	5.0%
l	34308	5.0%
h	23335	3.4%
S	13575	2.0%
u	13575	2.0%
s	13258	1.9%
N	9760	1.4%
W	6914	1.0%
E	6344	0.9%
V	546	0.1%
c	546	0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	34854	95.2%
-	1739	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	726935	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
t	105755	14.5%
o	92497	12.7%
r	79468	10.9%
e	76076	10.5%
n	69168	9.5%
a	41201	5.7%
i	35400	4.9%
	34854	4.8%
M	34308	4.7%
p	34308	4.7%
l	34308	4.7%
h	23335	3.2%
S	13575	1.9%
u	13575	1.9%
s	13258	1.8%
N	9760	1.3%
W	6914	1.0%
E	6344	0.9%
-	1739	0.2%
V	546	0.1%
c	546	0.1%

Propertycount
Real number (ℝ_≥0)

Distinct count	342
Unique (%)	1.0%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	7572.8883055029555
Minimum	83.0
Maximum	21650.0
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	83
5-th percentile	2185
Q1	4385
median	6763
Q3	10412
95-th percentile	15510
Maximum	21650
Range	21567
Interquartile range (IQR)	6027

Descriptive statistics

Standard deviation	4428.090313
Coefficient of variation (CV)	0.5847293839
Kurtosis	0.8906876388
Mean	7572.888306
Median Absolute Deviation (MAD)	2823
Skewness	0.9921002749
Sum	263945449
Variance	19607983.82

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
21650	844	2.4%
8870	722	2.1%
10969	583	1.7%
14949	552	1.6%
10412	491	1.4%
14577	485	1.4%
10331	467	1.3%
10579	456	1.3%
11918	444	1.3%
14887	435	1.2%
11308	428	1.2%
11364	424	1.2%
8920	422	1.2%
7809	420	1.2%
9264	409	1.2%
11204	405	1.2%
6938	393	1.1%
7485	378	1.1%
13240	374	1.1%
8648	371	1.1%
8801	369	1.1%
7717	336	1.0%
6795	319	0.9%
5682	319	0.9%
6543	304	0.9%
Other values (317)	23704	68.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
83	1	< 0.1%
121	1	< 0.1%
129	1	< 0.1%
242	1	< 0.1%
249	5	< 0.1%
271	1	< 0.1%
290	2	< 0.1%
335	1	< 0.1%
342	1	< 0.1%
389	13	< 0.1%

Value	Count	Frequency (%)
21650	844	2.4%
17496	204	0.6%
17384	20	0.1%
17093	47	0.1%
17055	123	0.4%
16166	178	0.5%
15542	129	0.4%
15510	255	0.7%
15321	235	0.7%
14949	552	1.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	Suburb	Address	Rooms	Type	Price	Method	SellerG	Date	Distance	Postcode	Bedroom2	Bathroom	Car	Landsize	BuildingArea	YearBuilt	CouncilArea	Lattitude	Longtitude	Regionname	Propertycount
0	Abbotsford	68 Studley St	2	h	NaN	SS	Jellis	3/09/2016	2.5	3067.0	2.0	1.0	1.0	126.0	NaN	NaN	Yarra City Council	-37.8014	144.9958	Northern Metropolitan	4019.0
1	Abbotsford	85 Turner St	2	h	1480000.0	S	Biggin	3/12/2016	2.5	3067.0	2.0	1.0	1.0	202.0	NaN	NaN	Yarra City Council	-37.7996	144.9984	Northern Metropolitan	4019.0
2	Abbotsford	25 Bloomburg St	2	h	1035000.0	S	Biggin	4/02/2016	2.5	3067.0	2.0	1.0	0.0	156.0	79.0	1900.0	Yarra City Council	-37.8079	144.9934	Northern Metropolitan	4019.0
3	Abbotsford	18/659 Victoria St	3	u	NaN	VB	Rounds	4/02/2016	2.5	3067.0	3.0	2.0	1.0	0.0	NaN	NaN	Yarra City Council	-37.8114	145.0116	Northern Metropolitan	4019.0
4	Abbotsford	5 Charles St	3	h	1465000.0	SP	Biggin	4/03/2017	2.5	3067.0	3.0	2.0	0.0	134.0	150.0	1900.0	Yarra City Council	-37.8093	144.9944	Northern Metropolitan	4019.0
5	Abbotsford	40 Federation La	3	h	850000.0	PI	Biggin	4/03/2017	2.5	3067.0	3.0	2.0	1.0	94.0	NaN	NaN	Yarra City Council	-37.7969	144.9969	Northern Metropolitan	4019.0
6	Abbotsford	55a Park St	4	h	1600000.0	VB	Nelson	4/06/2016	2.5	3067.0	3.0	1.0	2.0	120.0	142.0	2014.0	Yarra City Council	-37.8072	144.9941	Northern Metropolitan	4019.0
7	Abbotsford	16 Maugie St	4	h	NaN	SN	Nelson	6/08/2016	2.5	3067.0	3.0	2.0	2.0	400.0	220.0	2006.0	Yarra City Council	-37.7965	144.9965	Northern Metropolitan	4019.0
8	Abbotsford	53 Turner St	2	h	NaN	S	Biggin	6/08/2016	2.5	3067.0	4.0	1.0	2.0	201.0	NaN	1900.0	Yarra City Council	-37.7995	144.9974	Northern Metropolitan	4019.0
9	Abbotsford	99 Turner St	2	h	NaN	S	Collins	6/08/2016	2.5	3067.0	3.0	2.0	1.0	202.0	NaN	1900.0	Yarra City Council	-37.7996	144.9989	Northern Metropolitan	4019.0

Last rows

	Suburb	Address	Rooms	Type	Price	Method	SellerG	Date	Distance	Postcode	Bedroom2	Bathroom	Car	Landsize	BuildingArea	YearBuilt	CouncilArea	Lattitude	Longtitude	Regionname	Propertycount
34847	Wollert	27 Birchmore Rd	3	h	500000.0	PI	Ray	24/02/2018	25.5	3750.0	3.0	2.0	2.0	383.0	118.0	2016.0	Whittlesea City Council	-37.61940	145.03951	Northern Metropolitan	2940.0
34848	Wollert	16 Gunther Wy	4	h	621000.0	S	hockingstuart	24/02/2018	25.5	3750.0	4.0	2.0	2.0	375.0	NaN	NaN	Whittlesea City Council	-37.61331	145.03412	Northern Metropolitan	2940.0
34849	Wollert	35 Kingscote Wy	3	h	570000.0	SP	RW	24/02/2018	25.5	3750.0	3.0	2.0	2.0	404.0	158.0	2012.0	Whittlesea City Council	-37.61031	145.03393	Northern Metropolitan	2940.0
34850	Wollert	15 Rockgarden Wy	3	h	NaN	SP	LJ	24/02/2018	25.5	3750.0	3.0	2.0	2.0	268.0	135.0	2016.0	Whittlesea City Council	-37.61094	145.04281	Northern Metropolitan	2940.0
34851	Yarraville	78 Bayview Rd	3	h	1101000.0	S	Jas	24/02/2018	6.3	3013.0	3.0	1.0	NaN	288.0	NaN	NaN	Maribyrnong City Council	-37.81095	144.88516	Western Metropolitan	6543.0
34852	Yarraville	13 Burns St	4	h	1480000.0	PI	Jas	24/02/2018	6.3	3013.0	4.0	1.0	3.0	593.0	NaN	NaN	Maribyrnong City Council	-37.81053	144.88467	Western Metropolitan	6543.0
34853	Yarraville	29A Murray St	2	h	888000.0	SP	Sweeney	24/02/2018	6.3	3013.0	2.0	2.0	1.0	98.0	104.0	2018.0	Maribyrnong City Council	-37.81551	144.88826	Western Metropolitan	6543.0
34854	Yarraville	147A Severn St	2	t	705000.0	S	Jas	24/02/2018	6.3	3013.0	2.0	1.0	2.0	220.0	120.0	2000.0	Maribyrnong City Council	-37.82286	144.87856	Western Metropolitan	6543.0
34855	Yarraville	12/37 Stephen St	3	h	1140000.0	SP	hockingstuart	24/02/2018	6.3	3013.0	NaN	NaN	NaN	NaN	NaN	NaN	Maribyrnong City Council	NaN	NaN	Western Metropolitan	6543.0
34856	Yarraville	3 Tarrengower St	2	h	1020000.0	PI	RW	24/02/2018	6.3	3013.0	2.0	1.0	0.0	250.0	103.0	1930.0	Maribyrnong City Council	-37.81810	144.89351	Western Metropolitan	6543.0

Overview

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Most frequent Decimal Number characters

Most occurring scripts

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Most frequent ASCII characters

Most occurring characters

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Most frequent Decimal Number characters

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Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

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Most occurring scripts

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Most frequent Common characters

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Most frequent ASCII characters

Interactions

Correlations